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58 lines
3.2 KiB
58 lines
3.2 KiB
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comments: true |
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description: Kickstart your journey with Ultralytics HUB. Learn how to train and deploy YOLOv5 and YOLOv8 models in seconds with our Quickstart guide. |
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keywords: Ultralytics HUB, Quickstart, YOLOv5, YOLOv8, model training, quick deployment, drag-and-drop interface, real-time object detection |
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--- |
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# Quickstart Guide for Ultralytics HUB |
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HUB is designed to be user-friendly and intuitive, with a drag-and-drop interface that allows users to easily upload their data and train new models quickly. It offers a range of pre-trained models and templates to choose from, making it easy for users to get started with training their own models. Once a model is trained, it can be easily deployed and used for real-time object detection, instance segmentation and classification tasks. |
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<p align="center"> |
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<br> |
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<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/lveF9iCMIzc?si=_Q4WB5kMB5qNe7q6" |
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title="YouTube video player" frameborder="0" |
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" |
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allowfullscreen> |
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</iframe> |
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<strong>Watch:</strong> Train Your Custom YOLO Models In A Few Clicks with Ultralytics HUB. |
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</p> |
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## Creating an Account |
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[Ultralytics HUB](https://hub.ultralytics.com/) offers multiple easy account creation options. Users can register and sign in using Google, Apple, GitHub accounts, or a work email address. |
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![Creating an Account](https://github.com/ultralytics/ultralytics/assets/19519529/1dcf454a-68ab-4821-9779-ee33a6e300cf) |
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## The Dashboard |
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Upon logging in, users are directed to the HUB dashboard, providing a comprehensive overview. The left pane conveniently offers links for tasks such as Uploading Datasets, Creating Projects, Training Models, Integrating Third-party Applications, Accessing Support, and Managing Trash. |
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![HUB Dashboard](https://github.com/ultralytics/ultralytics/assets/19519529/108de60e-1b21-4f07-8d46-ed51d8439f67) |
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## Selecting the Model |
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Choose a Dataset and train the model by selecting the Project name, Model name, and Architecture. Ultralytics offers a range of YOLOv8, YOLOv5, and YOLOv5u6 Architectures, including pre-trained and custom options. |
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Read more about Models on the [HUB Models page](models.md). |
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## Training the Model |
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There are three ways to train your model: using Google Colab, training locally, or through Ultralytics Cloud. Learn more about training options on the [Cloud Training Page](cloud-training.md). |
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## Integrating the Model |
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Integrate your trained model with third-party applications or connect HUB from an external agent. Ultralytics HUB currently supports simple one-click API Integration with Roboflow. Read more about integration on the [Integration Page](integrations.md). |
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## Need Help? |
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If you encounter any issues or have questions, we're here to assist you. You can report a bug, request a feature, or ask a question. |
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![Support Page](https://github.com/ultralytics/ultralytics/assets/19519529/c29bf5c5-72d8-4be4-9f3f-b504968d0bef) |
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## Data Management |
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Manage your datasets efficiently with options to restore or permanently delete them from the Trash section in the left column. |
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![Trash Page](https://github.com/ultralytics/ultralytics/assets/19519529/c3d46107-aa58-4b05-a7a8-44db1ad61bb2)
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